Results-driven Data Analytics/BI/Reporting Engineer with over 7 years of experience in healthcare data analytics, specializing in workforce productivity, benchmarking, and advanced data visualization to drive clinical and operational improvements. Proficient in SQL, Tableau, Power BI, and Python, with expertise in data modeling, analysis, and cloud platforms such as Azure and AWS. Adept at transforming data into actionable insights, collaborating with cross-functional teams, and delivering sustainable solutions to optimize healthcare outcomes and enhance organizational performance.
Healthcare Workforce Analytics, Developed benchmarking dashboards for clinical departments, incorporating cohort comparisons and productivity metrics, driving operational improvements for healthcare clients. Telehealth Usage Dashboard, Designed a Power BI dashboard to analyze telehealth trends (2019–2023), integrating DAX calculations and advanced visualizations to uncover utilization patterns by demographic. Predictive Medicaid Enrollment Model, Created a predictive analytics model using SQL and Tableau, enabling a 30% improvement in staffing efficiency through data-driven resource planning. Patient Feedback Insights, Built a Python-based analytics pipeline for aggregating patient feedback, visualized via Tableau dashboards to inform strategic improvements.
Tableau, Power BI, QuickSight, Advanced SQL, DAX, Cognos, SAP BusinessObjects, Azure (Data Factory, Databricks, DevOps), AWS (Glue, Athena, RedShift), Python, Spark, MySQL, SSRS, Hadoop, Data Mining, Docker, Data Storytelling, Dashboard Design, Data Governance, CI/CD Pipelines, Jira, Git, Snowflake, Dbt